Phase angle from bioelectrical impedance analysis remains an independent predictive marker in HIV-infected patients in the era of highly active antiretroviral treatment
Open accessAbstract
Background Highly active antiretroviral treatment (HAART) reduces the risk of wasting in HIV infection and may alter the prognostic weight of wasting. The phase angle from bioelectrical impedance analysis (BIA) can be interpreted as a surrogate marker for the catabolic reaction to chronic HIV infection and opportunistic disease. Objective Our objective was to assess the prognostic ability of the phase angle in HIV-infected patients in the era of HAART. Design Two cross-sectional observation studies were conducted in 1996 and 1997 at a German university outpatient HIV clinic. In the 1996 and 1997 cohorts, HAART was prescribed to 17 of 212 and 168 of 257 patients at baseline and to 179 of 212 and 234 of 257 patients during observation, respectively. Whole-body BIA was assessed at 50 KHz. Time to clinical progression and survival were calculated by using Cox proportional hazard models with time-dependent covariates. Median observation times were 1000 and 515 d for the 1996 and 1997 cohorts, respectively. Results Higher phase angle was associated with a lower relative mortality risk, adjusted for viral load and CD4(+) cell count, of 0.49 (95% CI: 0.30, 0.81) per degree in 1996 and of 0.33 (95% CI: 0.18, 0.61) in 1997. The influence of phase angle on time to clinical progression, adjusted for viral load and CD4(+) cell count, was not significant in 1996 but the relative risk was 0.58 (0.36, 0.83) in 1997. Conclusion Despite the favorable effects of HAART on the nutritional status of HIV-infected persons, low phase angle remains an independent adverse prognostic marker of clinical progression and survival.
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PhA is an indicator of the general health of cells and water distribution.
“The PhA is an indicator of the general health of cells [76] and water distribution [77].”
From Adherence to the Mediterranean Diet, Dietary Patterns and Body Composition in Women with Polycystic Ovary Syndrome (PCOS) (2019) · cites this paper as [77]
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(1996) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/64.3.524s · Cited by 549 · see citing works
Fearon, K. C. H., Falconer, J. S., Slater, C., McMillan, D. C., Ross, J. A., & Preston, T. (1998) · Annals of Surgery · doi:10.1097/00000658-199802000-00015 · Cited by 196 · see citing works
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Bioelectrical impedance analysis?part I: review of principles and methods
KYLE, U. (2004) · Clinical Nutrition · doi:10.1016/j.clnu.2004.06.004 · Cited by 3,200 · see citing works
Bioelectrical impedance analysis—part II: utilization in clinical practice
Kyle, U. G., Bosaeus, I., De Lorenzo, A. D., Deurenberg, P., Elia, M., Manuel Gómez, J., Lilienthal Heitmann, B., Kent-Smith, L., Melchior, J.-C., Pirlich, M., et al. (2004) · Clinical Nutrition · doi:10.1016/j.clnu.2004.09.012 · Cited by 2,350 · see citing works
Self-citationBarrea, L., Arnone, A., Annunziata, G., Muscogiuri, G., Laudisio, D., Salzano, C., Pugliese, G., Colao, A., & Savastano, S. (2019) · Nutrients · doi:10.3390/nu11102278 · Cited by 306 · see citing works
“The PhA is an indicator of the general health of cells [76] and water distribution [77].”
BackgroundPhase angle and mortality: a systematic review
Garlini, L. M., Alves, F. D., Ceretta, L. B., Perry, I. S., Souza, G. C., & Clausell, N. O. (2019) · European Journal of Clinical Nutrition · doi:10.1038/s41430-018-0159-1 · Cited by 277 · see citing works
Is low-protein diet a possible risk factor of malnutrition in chronic kidney disease patients?
Noce, A., Vidiri, M. F., Marrone, G., Moriconi, E., Bocedi, A., Capria, A., Rovella, V, Ricci, G., De Lorenzo, A., & Di Daniele, N. (2016) · Cell Death Discovery · doi:10.1038/cddiscovery.2016.26 · Cited by 72 · see citing works
Stratton, M. T., Smith, R. W., Harty, P. S., Rodriguez, C., Johnson, B. A., Dellinger, J. R., Williams, A. D., White, S. J., Benavides, M. L., & Tinsley, G. M. (2021) · European Journal of Clinical Nutrition · doi:10.1038/s41430-020-00811-3 · Cited by 46 · see citing works
- Authors
- Schwenk, A., Beisenherz, A., Römer, K., Kremer, G., Salzberger, B., & Elia, M.
- Affiliations
- University of Cologne (DE)
- ORCID
- Salzberger, Bernd
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2000-08
- Volume
- 72
- Issue
- 2
- Pages
- 496-501
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W1903914558
- Cited by
- 303
- References
- 2
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 9 · 2023: 16 · 2022: 24 · 2021: 16 · 2020: 10 · 2019: 13 · 2018: 15 · 2017: 15 · 2016: 22 · 2015: 13 · 2014: 13 · 2013: 11 · 2012: 20
- FWCI
- 5.39
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Emergency Medicine › HIV-related health complications and treatments
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
- Keywords
- phase angle, bioelectrical impedance analysis, HIV infection, highly active antiretroviral therapy, prognostic factors, clinical progression, mortality, nutritional status, wasting, catabolism, CD4 count, viral load
- MeSH terms
- Adult, Body Composition, Cross-Sectional Studies, Drug Therapy, Combination, Female, Germany, Humans, Longitudinal Studies, Male, Predictive Value of Tests, Prognosis, Cohort Studies, Biomarkers, HIV Infections, Survival Analysis, Electric Impedance, Disease-Free Survival, Anti-HIV Agents
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